Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells29262
Missing cells (%)12.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory211.0 B

Variable types

Numeric8
Categorical10
Text5
Unsupported1

Dataset

Description망상오토캠핑장 우편번호 시도 시도영문 시군구 시군구영문 읍면 읍면영문 도로명코드 도로명 도로명영문지 지하여부, 건물번호본번, 건물번호부번, 건물관리, 다량배달차량 데이터 제공
Author동해시시설관리공단
URLhttps://www.data.go.kr/data/15075298/fileData.do

Alerts

시도 has constant value ""Constant
시도영문 has constant value ""Constant
지하여부 has constant value ""Constant
산여부 is highly imbalanced (84.3%)Imbalance
다량배달처명 has 10000 (100.0%) missing valuesMissing
시군구용건물명 has 9262 (92.6%) missing valuesMissing
법정동명 has 5682 (56.8%) missing valuesMissing
리명 has 4318 (43.2%) missing valuesMissing
다량배달처명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물번호부번 has 5128 (51.3%) zerosZeros
지번부번 has 2445 (24.4%) zerosZeros

Reproduction

Analysis started2023-12-12 09:40:23.041768
Analysis finished2023-12-12 09:40:24.213412
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

우편번호
Real number (ℝ)

Distinct347
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25360.393
Minimum24701
Maximum25822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:24.273409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24701
5-th percentile24712
Q125406
median25486
Q325599
95-th percentile25708
Maximum25822
Range1121
Interquartile range (IQR)193

Descriptive statistics

Standard deviation348.70511
Coefficient of variation (CV)0.013749988
Kurtosis-0.45455198
Mean25360.393
Median Absolute Deviation (MAD)102
Skewness-1.0797338
Sum2.5360393 × 108
Variance121595.25
MonotonicityNot monotonic
2023-12-12T18:40:24.393248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25620 117
 
1.2%
25435 116
 
1.2%
25410 115
 
1.1%
25617 111
 
1.1%
25428 107
 
1.1%
25622 104
 
1.0%
25623 99
 
1.0%
25633 87
 
0.9%
25631 87
 
0.9%
25624 86
 
0.9%
Other values (337) 8971
89.7%
ValueCountFrequency (%)
24701 53
0.5%
24702 13
 
0.1%
24703 70
0.7%
24704 68
0.7%
24705 10
 
0.1%
24706 34
0.3%
24707 37
0.4%
24708 37
0.4%
24709 19
 
0.2%
24710 35
0.4%
ValueCountFrequency (%)
25822 28
0.3%
25821 23
0.2%
25820 13
 
0.1%
25818 16
 
0.2%
25817 40
0.4%
25816 10
 
0.1%
25814 7
 
0.1%
25813 17
0.2%
25811 12
 
0.1%
25810 11
 
0.1%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강원도
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도
2nd row강원도
3rd row강원도
4th row강원도
5th row강원도

Common Values

ValueCountFrequency (%)
강원도 10000
100.0%

Length

2023-12-12T18:40:24.499833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:24.573551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 10000
100.0%

시도영문
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Gangwon-do
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGangwon-do
2nd rowGangwon-do
3rd rowGangwon-do
4th rowGangwon-do
5th rowGangwon-do

Common Values

ValueCountFrequency (%)
Gangwon-do 10000
100.0%

Length

2023-12-12T18:40:24.656213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:24.731116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gangwon-do 10000
100.0%

시군구
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강릉시
7127 
고성군
2251 
동해시
 
622

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강릉시
2nd row강릉시
3rd row동해시
4th row동해시
5th row강릉시

Common Values

ValueCountFrequency (%)
강릉시 7127
71.3%
고성군 2251
 
22.5%
동해시 622
 
6.2%

Length

2023-12-12T18:40:24.810275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:24.906752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강릉시 7127
71.3%
고성군 2251
 
22.5%
동해시 622
 
6.2%

시군구영문
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Gangneung-si
7127 
Goseong-gun
2251 
Donghae-si
 
622

Length

Max length12
Median length12
Mean length11.6505
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGangneung-si
2nd rowGangneung-si
3rd rowDonghae-si
4th rowDonghae-si
5th rowGangneung-si

Common Values

ValueCountFrequency (%)
Gangneung-si 7127
71.3%
Goseong-gun 2251
 
22.5%
Donghae-si 622
 
6.2%

Length

2023-12-12T18:40:25.009135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:25.132053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gangneung-si 7127
71.3%
goseong-gun 2251
 
22.5%
donghae-si 622
 
6.2%

읍면
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4318 
주문진읍
952 
토성면
595 
거진읍
575 
강동면
444 
Other values (9)
3116 

Length

Max length4
Median length4
Mean length3.527
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구정면
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4318
43.2%
주문진읍 952
 
9.5%
토성면 595
 
5.9%
거진읍 575
 
5.8%
강동면 444
 
4.4%
사천면 407
 
4.1%
죽왕면 402
 
4.0%
간성읍 394
 
3.9%
연곡면 392
 
3.9%
옥계면 362
 
3.6%
Other values (4) 1159
 
11.6%

Length

2023-12-12T18:40:25.238601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4318
43.2%
주문진읍 952
 
9.5%
토성면 595
 
5.9%
거진읍 575
 
5.8%
강동면 444
 
4.4%
사천면 407
 
4.1%
죽왕면 402
 
4.0%
간성읍 394
 
3.9%
연곡면 392
 
3.9%
옥계면 362
 
3.6%
Other values (4) 1159
 
11.6%

읍면영문
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4318 
Jumunjin-eup
952 
Toseong-myeon
595 
Geojin-eup
575 
Gangdong-myeon
444 
Other values (9)
3116 

Length

Max length14
Median length13
Mean length8.8385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGujeong-myeon
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4318
43.2%
Jumunjin-eup 952
 
9.5%
Toseong-myeon 595
 
5.9%
Geojin-eup 575
 
5.8%
Gangdong-myeon 444
 
4.4%
Sacheon-myeon 407
 
4.1%
Jugwang-myeon 402
 
4.0%
Ganseong-eup 394
 
3.9%
Yeongok-myeon 392
 
3.9%
Okgye-myeon 362
 
3.6%
Other values (4) 1159
 
11.6%

Length

2023-12-12T18:40:25.363955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4318
43.2%
jumunjin-eup 952
 
9.5%
toseong-myeon 595
 
5.9%
geojin-eup 575
 
5.8%
gangdong-myeon 444
 
4.4%
sacheon-myeon 407
 
4.1%
jugwang-myeon 402
 
4.0%
ganseong-eup 394
 
3.9%
yeongok-myeon 392
 
3.9%
okgye-myeon 362
 
3.6%
Other values (4) 1159
 
11.6%

도로명코드
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2302449 × 1011
Minimum4.21501 × 1011
Maximum4.28205 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:25.471713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.21501 × 1011
5-th percentile4.21503 × 1011
Q14.21504 × 1011
median4.21504 × 1011
Q34.21704 × 1011
95-th percentile4.28205 × 1011
Maximum4.28205 × 1011
Range6.704 × 109
Interquartile range (IQR)2 × 108

Descriptive statistics

Standard deviation2.7923958 × 109
Coefficient of variation (CV)0.0066010263
Kurtosis-0.2677038
Mean4.2302449 × 1011
Median Absolute Deviation (MAD)0
Skewness1.3155802
Sum4.2302449 × 1015
Variance7.7974743 × 1018
MonotonicityNot monotonic
2023-12-12T18:40:25.583496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
421504000000 5182
51.8%
421503000000 1780
 
17.8%
428205000000 1663
 
16.6%
428203000000 519
 
5.2%
421704000000 464
 
4.6%
421703000000 131
 
1.3%
421502000000 131
 
1.3%
428202000000 61
 
0.6%
421505000000 31
 
0.3%
421702000000 27
 
0.3%
Other values (2) 11
 
0.1%
ValueCountFrequency (%)
421501000000 3
 
< 0.1%
421502000000 131
 
1.3%
421503000000 1780
 
17.8%
421504000000 5182
51.8%
421505000000 31
 
0.3%
421702000000 27
 
0.3%
421703000000 131
 
1.3%
421704000000 464
 
4.6%
428202000000 61
 
0.6%
428203000000 519
 
5.2%
ValueCountFrequency (%)
428205000000 1663
 
16.6%
428204000000 8
 
0.1%
428203000000 519
 
5.2%
428202000000 61
 
0.6%
421704000000 464
 
4.6%
421703000000 131
 
1.3%
421702000000 27
 
0.3%
421505000000 31
 
0.3%
421504000000 5182
51.8%
421503000000 1780
 
17.8%

도로명
Text

Distinct1522
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:40:25.854561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.7823
Min length3

Characters and Unicode

Total characters47823
Distinct characters316
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)1.9%

Sample

1st row구정옥봉길
2nd row임영로157번길
3rd row게구석1길
4th row효자남길
5th row강릉대로171번길
ValueCountFrequency (%)
동해대로 133
 
1.3%
해안로 129
 
1.3%
경강로 106
 
1.1%
율곡로 105
 
1.1%
진고개로 91
 
0.9%
강릉대로 80
 
0.8%
진부령로 75
 
0.8%
연주로 73
 
0.7%
백두대간로 68
 
0.7%
헌화로 67
 
0.7%
Other values (1512) 9073
90.7%
2023-12-12T18:40:26.314143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 8043
 
16.8%
로 4206
 
8.8%
번 2218
 
4.6%
1 1663
 
3.5%
2 1471
 
3.1%
3 882
 
1.8%
진 880
 
1.8%
대 878
 
1.8%
강 753
 
1.6%
동 659
 
1.4%
Other values (306) 26170
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40738
85.2%
Decimal Number 7085
 
14.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 8043
 
19.7%
로 4206
 
10.3%
번 2218
 
5.4%
진 880
 
2.2%
대 878
 
2.2%
강 753
 
1.8%
동 659
 
1.6%
산 655
 
1.6%
안 618
 
1.5%
성 543
 
1.3%
Other values (296) 21285
52.2%
Decimal Number
ValueCountFrequency (%)
1 1663
23.5%
2 1471
20.8%
3 882
12.4%
4 506
 
7.1%
5 492
 
6.9%
6 460
 
6.5%
7 428
 
6.0%
0 411
 
5.8%
9 403
 
5.7%
8 369
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40738
85.2%
Common 7085
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 8043
 
19.7%
로 4206
 
10.3%
번 2218
 
5.4%
진 880
 
2.2%
대 878
 
2.2%
강 753
 
1.8%
동 659
 
1.6%
산 655
 
1.6%
안 618
 
1.5%
성 543
 
1.3%
Other values (296) 21285
52.2%
Common
ValueCountFrequency (%)
1 1663
23.5%
2 1471
20.8%
3 882
12.4%
4 506
 
7.1%
5 492
 
6.9%
6 460
 
6.5%
7 428
 
6.0%
0 411
 
5.8%
9 403
 
5.7%
8 369
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40738
85.2%
ASCII 7085
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 8043
 
19.7%
로 4206
 
10.3%
번 2218
 
5.4%
진 880
 
2.2%
대 878
 
2.2%
강 753
 
1.8%
동 659
 
1.6%
산 655
 
1.6%
안 618
 
1.5%
성 543
 
1.3%
Other values (296) 21285
52.2%
ASCII
ValueCountFrequency (%)
1 1663
23.5%
2 1471
20.8%
3 882
12.4%
4 506
 
7.1%
5 492
 
6.9%
6 460
 
6.5%
7 428
 
6.0%
0 411
 
5.8%
9 403
 
5.7%
8 369
 
5.2%

도로명영문
Text

Distinct1522
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:40:26.676491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length14.8407
Min length7

Characters and Unicode

Total characters148407
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)1.9%

Sample

1st rowGujeongokbong-gil
2nd rowImyeong-ro 157beon-gil
3rd rowGeguseok 1-gil
4th rowHyojanam-gil
5th rowGangneung-daero 171beon-gil
ValueCountFrequency (%)
1-gil 546
 
4.0%
2-gil 402
 
2.9%
3-gil 282
 
2.1%
gyeonggang-ro 257
 
1.9%
gangneung-daero 247
 
1.8%
yulgok-ro 193
 
1.4%
donghae-daero 146
 
1.1%
imyeong-ro 140
 
1.0%
haean-ro 135
 
1.0%
hwabusan-ro 109
 
0.8%
Other values (1126) 11215
82.0%
2023-12-12T18:40:27.255838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 16735
11.3%
o 15424
 
10.4%
n 14804
 
10.0%
- 12241
 
8.2%
i 11029
 
7.4%
l 10217
 
6.9%
e 9743
 
6.6%
a 9283
 
6.3%
r 4941
 
3.3%
u 3798
 
2.6%
Other values (43) 40192
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 115406
77.8%
Dash Punctuation 12241
 
8.2%
Uppercase Letter 10003
 
6.7%
Decimal Number 7085
 
4.8%
Space Separator 3672
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 16735
14.5%
o 15424
13.4%
n 14804
12.8%
i 11029
9.6%
l 10217
8.9%
e 9743
8.4%
a 9283
8.0%
r 4941
 
4.3%
u 3798
 
3.3%
b 3283
 
2.8%
Other values (12) 16149
14.0%
Uppercase Letter
ValueCountFrequency (%)
G 2068
20.7%
S 1281
12.8%
H 1056
10.6%
J 824
 
8.2%
Y 658
 
6.6%
D 628
 
6.3%
B 598
 
6.0%
N 576
 
5.8%
M 385
 
3.8%
C 334
 
3.3%
Other values (9) 1595
15.9%
Decimal Number
ValueCountFrequency (%)
1 1663
23.5%
2 1471
20.8%
3 882
12.4%
4 506
 
7.1%
5 492
 
6.9%
6 460
 
6.5%
7 428
 
6.0%
0 411
 
5.8%
9 403
 
5.7%
8 369
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 12241
100.0%
Space Separator
ValueCountFrequency (%)
3672
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 125409
84.5%
Common 22998
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 16735
13.3%
o 15424
12.3%
n 14804
11.8%
i 11029
8.8%
l 10217
 
8.1%
e 9743
 
7.8%
a 9283
 
7.4%
r 4941
 
3.9%
u 3798
 
3.0%
b 3283
 
2.6%
Other values (31) 26152
20.9%
Common
ValueCountFrequency (%)
- 12241
53.2%
3672
 
16.0%
1 1663
 
7.2%
2 1471
 
6.4%
3 882
 
3.8%
4 506
 
2.2%
5 492
 
2.1%
6 460
 
2.0%
7 428
 
1.9%
0 411
 
1.8%
Other values (2) 772
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 16735
11.3%
o 15424
 
10.4%
n 14804
 
10.0%
- 12241
 
8.2%
i 11029
 
7.4%
l 10217
 
6.9%
e 9743
 
6.6%
a 9283
 
6.3%
r 4941
 
3.3%
u 3798
 
2.6%
Other values (43) 40192
27.1%

지하여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T18:40:27.399770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:27.485060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

건물번호본번
Real number (ℝ)

Distinct1224
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.9436
Minimum1
Maximum8925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:27.606576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q114
median35
Q3123
95-th percentile1755.65
Maximum8925
Range8924
Interquartile range (IQR)109

Descriptive statistics

Standard deviation758.66478
Coefficient of variation (CV)2.8743443
Kurtosis33.266982
Mean263.9436
Median Absolute Deviation (MAD)27
Skewness5.2169215
Sum2639436
Variance575572.25
MonotonicityNot monotonic
2023-12-12T18:40:27.795672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 236
 
2.4%
8 224
 
2.2%
7 223
 
2.2%
11 205
 
2.1%
3 204
 
2.0%
6 197
 
2.0%
9 197
 
2.0%
10 192
 
1.9%
12 190
 
1.9%
13 170
 
1.7%
Other values (1214) 7962
79.6%
ValueCountFrequency (%)
1 115
1.1%
2 145
1.5%
3 204
2.0%
4 163
1.6%
5 236
2.4%
6 197
2.0%
7 223
2.2%
8 224
2.2%
9 197
2.0%
10 192
1.9%
ValueCountFrequency (%)
8925 1
 
< 0.1%
8886 1
 
< 0.1%
8299 1
 
< 0.1%
7760 1
 
< 0.1%
7540 1
 
< 0.1%
7158 1
 
< 0.1%
7154 1
 
< 0.1%
7140 1
 
< 0.1%
6645 3
< 0.1%
6611 1
 
< 0.1%

건물번호부번
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.103
Minimum0
Maximum308
Zeros5128
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:27.957888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile24
Maximum308
Range308
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.447178
Coefficient of variation (CV)2.2432253
Kurtosis72.635932
Mean5.103
Median Absolute Deviation (MAD)0
Skewness5.782116
Sum51030
Variance131.03789
MonotonicityNot monotonic
2023-12-12T18:40:28.112101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5128
51.3%
1 886
 
8.9%
3 433
 
4.3%
2 386
 
3.9%
4 382
 
3.8%
5 294
 
2.9%
6 290
 
2.9%
8 228
 
2.3%
7 209
 
2.1%
10 177
 
1.8%
Other values (90) 1587
 
15.9%
ValueCountFrequency (%)
0 5128
51.3%
1 886
 
8.9%
2 386
 
3.9%
3 433
 
4.3%
4 382
 
3.8%
5 294
 
2.9%
6 290
 
2.9%
7 209
 
2.1%
8 228
 
2.3%
9 139
 
1.4%
ValueCountFrequency (%)
308 1
 
< 0.1%
173 1
 
< 0.1%
136 1
 
< 0.1%
124 1
 
< 0.1%
112 1
 
< 0.1%
111 1
 
< 0.1%
99 1
 
< 0.1%
98 3
< 0.1%
96 4
< 0.1%
95 1
 
< 0.1%

건물관리번호
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4215010000000000000000000
3696 
4215030000000000000000000
2270 
4282030000000000000000000
2251 
4215040000000000000000000
1161 
4217010000000000000000000
622 

Length

Max length26
Median length26
Mean length26
Min length26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4215030000000000000000000
2nd row4215010000000000000000000
3rd row4217010000000000000000000
4th row4217010000000000000000000
5th row4215010000000000000000000

Common Values

ValueCountFrequency (%)
4215010000000000000000000 3696
37.0%
4215030000000000000000000 2270
22.7%
4282030000000000000000000 2251
22.5%
4215040000000000000000000 1161
 
11.6%
4217010000000000000000000 622
 
6.2%

Length

2023-12-12T18:40:28.279767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:28.400372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4215010000000000000000000 3696
37.0%
4215030000000000000000000 2270
22.7%
4282030000000000000000000 2251
22.5%
4215040000000000000000000 1161
 
11.6%
4217010000000000000000000 622
 
6.2%

다량배달처명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

시군구용건물명
Text

MISSING 

Distinct722
Distinct (%)97.8%
Missing9262
Missing (%)92.6%
Memory size156.2 KiB
2023-12-12T18:40:28.676744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length6.100271
Min length2

Characters and Unicode

Total characters4502
Distinct characters489
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique710 ?
Unique (%)96.2%

Sample

1st row제일학원
2nd row현대그린아파트
3rd row대목임대아파트
4th row멕시칸치킨
5th row죽왕정욱점
ValueCountFrequency (%)
노암연립 6
 
0.8%
마을회관 3
 
0.4%
동해해양경찰서 3
 
0.4%
서울민박 2
 
0.3%
통일면옥 2
 
0.3%
회산주공아파트 2
 
0.3%
우리민박 2
 
0.3%
속초해양경찰서 2
 
0.3%
경로당 2
 
0.3%
강릉소방서 2
 
0.3%
Other values (730) 736
96.6%
2023-12-12T18:40:29.516467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 85
 
1.9%
리 84
 
1.9%
동 80
 
1.8%
교 69
 
1.5%
민 67
 
1.5%
아 66
 
1.5%
트 65
 
1.4%
소 62
 
1.4%
원 61
 
1.4%
대 61
 
1.4%
Other values (479) 3802
84.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4328
96.1%
Decimal Number 54
 
1.2%
Uppercase Letter 52
 
1.2%
Space Separator 24
 
0.5%
Close Punctuation 16
 
0.4%
Open Punctuation 16
 
0.4%
Other Punctuation 8
 
0.2%
Other Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 85
 
2.0%
리 84
 
1.9%
동 80
 
1.8%
교 69
 
1.6%
민 67
 
1.5%
아 66
 
1.5%
트 65
 
1.5%
소 62
 
1.4%
원 61
 
1.4%
대 61
 
1.4%
Other values (442) 3628
83.8%
Uppercase Letter
ValueCountFrequency (%)
S 7
13.5%
A 6
11.5%
E 5
 
9.6%
O 5
 
9.6%
P 3
 
5.8%
I 3
 
5.8%
K 3
 
5.8%
G 3
 
5.8%
T 2
 
3.8%
C 2
 
3.8%
Other values (9) 13
25.0%
Decimal Number
ValueCountFrequency (%)
2 17
31.5%
1 12
22.2%
3 10
18.5%
5 4
 
7.4%
4 4
 
7.4%
7 2
 
3.7%
0 2
 
3.7%
9 2
 
3.7%
6 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 1
 
12.5%
& 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4329
96.2%
Common 118
 
2.6%
Latin 54
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 85
 
2.0%
리 84
 
1.9%
동 80
 
1.8%
교 69
 
1.6%
민 67
 
1.5%
아 66
 
1.5%
트 65
 
1.5%
소 62
 
1.4%
원 61
 
1.4%
대 61
 
1.4%
Other values (442) 3629
83.8%
Latin
ValueCountFrequency (%)
S 7
13.0%
A 6
 
11.1%
E 5
 
9.3%
O 5
 
9.3%
P 3
 
5.6%
I 3
 
5.6%
K 3
 
5.6%
G 3
 
5.6%
T 2
 
3.7%
C 2
 
3.7%
Other values (11) 15
27.8%
Common
ValueCountFrequency (%)
24
20.3%
2 17
14.4%
) 16
13.6%
( 16
13.6%
1 12
10.2%
3 10
8.5%
, 6
 
5.1%
5 4
 
3.4%
4 4
 
3.4%
7 2
 
1.7%
Other values (5) 7
 
5.9%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4327
96.1%
ASCII 172
 
3.8%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 85
 
2.0%
리 84
 
1.9%
동 80
 
1.8%
교 69
 
1.6%
민 67
 
1.5%
아 66
 
1.5%
트 65
 
1.5%
소 62
 
1.4%
원 61
 
1.4%
대 61
 
1.4%
Other values (441) 3627
83.8%
ASCII
ValueCountFrequency (%)
24
14.0%
2 17
 
9.9%
) 16
 
9.3%
( 16
 
9.3%
1 12
 
7.0%
3 10
 
5.8%
S 7
 
4.1%
, 6
 
3.5%
A 6
 
3.5%
E 5
 
2.9%
Other values (26) 53
30.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

법정동코드
Real number (ℝ)

Distinct187
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2302286 × 109
Minimum4.2150101 × 109
Maximum4.282033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:29.791603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2150101 × 109
5-th percentile4.2150107 × 109
Q14.215012 × 109
median4.215032 × 109
Q34.2170123 × 109
95-th percentile4.282033 × 109
Maximum4.282033 × 109
Range67022937
Interquartile range (IQR)2000300

Descriptive statistics

Standard deviation27924483
Coefficient of variation (CV)0.006601176
Kurtosis-0.26769391
Mean4.2302286 × 109
Median Absolute Deviation (MAD)20621
Skewness1.3155892
Sum4.2302286 × 1013
Variance7.7977678 × 1014
MonotonicityNot monotonic
2023-12-12T18:40:30.063356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4215011000 688
 
6.9%
4215011100 523
 
5.2%
4215025021 474
 
4.7%
4215012100 384
 
3.8%
4282025321 377
 
3.8%
4215025022 372
 
3.7%
4215010100 294
 
2.9%
4217012300 197
 
2.0%
4215010900 193
 
1.9%
4215012500 188
 
1.9%
Other values (177) 6310
63.1%
ValueCountFrequency (%)
4215010100 294
2.9%
4215010200 47
 
0.5%
4215010300 24
 
0.2%
4215010400 9
 
0.1%
4215010500 85
 
0.9%
4215010600 24
 
0.2%
4215010700 33
 
0.3%
4215010800 84
 
0.8%
4215010900 193
 
1.9%
4215011000 688
6.9%
ValueCountFrequency (%)
4282033037 13
 
0.1%
4282033036 41
0.4%
4282033035 49
0.5%
4282033034 52
0.5%
4282033033 32
0.3%
4282033032 22
0.2%
4282033031 44
0.4%
4282033030 35
0.4%
4282033029 21
0.2%
4282033028 24
0.2%

법정동명
Text

MISSING 

Distinct53
Distinct (%)1.2%
Missing5682
Missing (%)56.8%
Memory size156.2 KiB
2023-12-12T18:40:30.434699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8874479
Min length2

Characters and Unicode

Total characters12468
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교동
2nd row묵호진동
3rd row동회동
4th row교동
5th row운산동
ValueCountFrequency (%)
교동 688
15.9%
포남동 523
 
12.1%
노암동 384
 
8.9%
홍제동 294
 
6.8%
묵호진동 197
 
4.6%
옥천동 193
 
4.5%
입암동 188
 
4.4%
내곡동 174
 
4.0%
임당동 85
 
2.0%
성남동 84
 
1.9%
Other values (43) 1508
34.9%
2023-12-12T18:40:30.920097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 4383
35.2%
교 688
 
5.5%
남 679
 
5.4%
암 572
 
4.6%
포 523
 
4.2%
노 384
 
3.1%
홍 294
 
2.4%
제 294
 
2.4%
호 263
 
2.1%
진 262
 
2.1%
Other values (61) 4126
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12468
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4383
35.2%
교 688
 
5.5%
남 679
 
5.4%
암 572
 
4.6%
포 523
 
4.2%
노 384
 
3.1%
홍 294
 
2.4%
제 294
 
2.4%
호 263
 
2.1%
진 262
 
2.1%
Other values (61) 4126
33.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12468
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4383
35.2%
교 688
 
5.5%
남 679
 
5.4%
암 572
 
4.6%
포 523
 
4.2%
노 384
 
3.1%
홍 294
 
2.4%
제 294
 
2.4%
호 263
 
2.1%
진 262
 
2.1%
Other values (61) 4126
33.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12468
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 4383
35.2%
교 688
 
5.5%
남 679
 
5.4%
암 572
 
4.6%
포 523
 
4.2%
노 384
 
3.1%
홍 294
 
2.4%
제 294
 
2.4%
호 263
 
2.1%
진 262
 
2.1%
Other values (61) 4126
33.1%

리명
Text

MISSING 

Distinct131
Distinct (%)2.3%
Missing4318
Missing (%)43.2%
Memory size156.2 KiB
2023-12-12T18:40:31.293938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0997888
Min length2

Characters and Unicode

Total characters17613
Distinct characters113
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학산리
2nd row주문리
3rd row대진리
4th row아야진리
5th row안인진리
ValueCountFrequency (%)
주문리 474
 
8.3%
거진리 377
 
6.6%
교항리 372
 
6.5%
대진리 133
 
2.3%
아야진리 113
 
2.0%
학산리 92
 
1.6%
금진리 87
 
1.5%
정동진리 87
 
1.5%
신안리 85
 
1.5%
현내리 76
 
1.3%
Other values (121) 3786
66.6%
2023-12-12T18:40:31.831396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 5682
32.3%
진 1210
 
6.9%
문 551
 
3.1%
교 546
 
3.1%
주 510
 
2.9%
산 475
 
2.7%
동 422
 
2.4%
거 377
 
2.1%
항 372
 
2.1%
대 305
 
1.7%
Other values (103) 7163
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17613
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 5682
32.3%
진 1210
 
6.9%
문 551
 
3.1%
교 546
 
3.1%
주 510
 
2.9%
산 475
 
2.7%
동 422
 
2.4%
거 377
 
2.1%
항 372
 
2.1%
대 305
 
1.7%
Other values (103) 7163
40.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17613
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 5682
32.3%
진 1210
 
6.9%
문 551
 
3.1%
교 546
 
3.1%
주 510
 
2.9%
산 475
 
2.7%
동 422
 
2.4%
거 377
 
2.1%
항 372
 
2.1%
대 305
 
1.7%
Other values (103) 7163
40.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17613
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 5682
32.3%
진 1210
 
6.9%
문 551
 
3.1%
교 546
 
3.1%
주 510
 
2.9%
산 475
 
2.7%
동 422
 
2.4%
거 377
 
2.1%
항 372
 
2.1%
대 305
 
1.7%
Other values (103) 7163
40.7%

행정동명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주문진읍
936 
<NA>
728 
강남동
 
583
거진읍
 
475
토성면
 
470
Other values (27)
6808 

Length

Max length4
Median length3
Mean length3.2176
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구정면
2nd row교1동
3rd row묵호동
4th row북삼동
5th row교1동

Common Values

ValueCountFrequency (%)
주문진읍 936
 
9.4%
<NA> 728
 
7.3%
강남동 583
 
5.8%
거진읍 475
 
4.8%
토성면 470
 
4.7%
강동면 436
 
4.4%
교1동 419
 
4.2%
사천면 391
 
3.9%
연곡면 371
 
3.7%
옥계면 349
 
3.5%
Other values (22) 4842
48.4%

Length

2023-12-12T18:40:31.993814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주문진읍 936
 
9.4%
na 728
 
7.3%
강남동 583
 
5.8%
거진읍 475
 
4.8%
토성면 470
 
4.7%
강동면 436
 
4.4%
교1동 419
 
4.2%
사천면 391
 
3.9%
연곡면 371
 
3.7%
옥계면 349
 
3.5%
Other values (22) 4842
48.4%

산여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9771 
1
 
229

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9771
97.7%
1 229
 
2.3%

Length

2023-12-12T18:40:32.125408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:32.238963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9771
97.7%
1 229
 
2.3%

지번본번
Real number (ℝ)

Distinct1367
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.5093
Minimum1
Maximum2720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:32.371110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q1130
median289
Q3578
95-th percentile1173
Maximum2720
Range2719
Interquartile range (IQR)448

Descriptive statistics

Standard deviation386.86513
Coefficient of variation (CV)0.94240283
Kurtosis2.5413292
Mean410.5093
Median Absolute Deviation (MAD)196
Skewness1.5369095
Sum4105093
Variance149664.63
MonotonicityNot monotonic
2023-12-12T18:40:32.604086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 69
 
0.7%
312 62
 
0.6%
1 57
 
0.6%
287 43
 
0.4%
181 36
 
0.4%
162 36
 
0.4%
40 35
 
0.4%
85 35
 
0.4%
15 34
 
0.3%
662 33
 
0.3%
Other values (1357) 9560
95.6%
ValueCountFrequency (%)
1 57
0.6%
2 69
0.7%
3 33
0.3%
4 28
0.3%
5 18
 
0.2%
6 13
 
0.1%
7 25
 
0.2%
8 22
 
0.2%
9 16
 
0.2%
10 30
0.3%
ValueCountFrequency (%)
2720 1
 
< 0.1%
2214 10
0.1%
2189 1
 
< 0.1%
2161 1
 
< 0.1%
2159 1
 
< 0.1%
2136 1
 
< 0.1%
1983 1
 
< 0.1%
1982 1
 
< 0.1%
1944 1
 
< 0.1%
1937 1
 
< 0.1%

읍면동일련번호
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4176
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:32.798692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum12
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3352859
Coefficient of variation (CV)0.94193421
Kurtosis21.491914
Mean1.4176
Median Absolute Deviation (MAD)0
Skewness4.3781078
Sum14176
Variance1.7829885
MonotonicityNot monotonic
2023-12-12T18:40:32.953572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 8471
84.7%
2 667
 
6.7%
3 276
 
2.8%
4 201
 
2.0%
5 142
 
1.4%
7 76
 
0.8%
8 49
 
0.5%
10 46
 
0.5%
11 27
 
0.3%
9 24
 
0.2%
Other values (2) 21
 
0.2%
ValueCountFrequency (%)
1 8471
84.7%
2 667
 
6.7%
3 276
 
2.8%
4 201
 
2.0%
5 142
 
1.4%
6 20
 
0.2%
7 76
 
0.8%
8 49
 
0.5%
9 24
 
0.2%
10 46
 
0.5%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 27
 
0.3%
10 46
 
0.5%
9 24
 
0.2%
8 49
 
0.5%
7 76
 
0.8%
6 20
 
0.2%
5 142
1.4%
4 201
2.0%
3 276
2.8%

지번부번
Real number (ℝ)

ZEROS 

Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5348
Minimum0
Maximum682
Zeros2445
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:40:33.157915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile66
Maximum682
Range682
Interquartile range (IQR)9

Descriptive statistics

Standard deviation43.387432
Coefficient of variation (CV)2.9850725
Kurtosis72.408957
Mean14.5348
Median Absolute Deviation (MAD)3
Skewness7.3638766
Sum145348
Variance1882.4692
MonotonicityNot monotonic
2023-12-12T18:40:33.387140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2445
24.4%
1 1360
13.6%
2 915
 
9.2%
3 649
 
6.5%
4 531
 
5.3%
5 416
 
4.2%
6 322
 
3.2%
7 287
 
2.9%
8 250
 
2.5%
9 195
 
1.9%
Other values (265) 2630
26.3%
ValueCountFrequency (%)
0 2445
24.4%
1 1360
13.6%
2 915
 
9.2%
3 649
 
6.5%
4 531
 
5.3%
5 416
 
4.2%
6 322
 
3.2%
7 287
 
2.9%
8 250
 
2.5%
9 195
 
1.9%
ValueCountFrequency (%)
682 1
< 0.1%
664 1
< 0.1%
660 1
< 0.1%
656 1
< 0.1%
640 1
< 0.1%
610 1
< 0.1%
608 1
< 0.1%
604 1
< 0.1%
593 1
< 0.1%
592 1
< 0.1%

Sample

우편번호시도시도영문시군구시군구영문읍면읍면영문도로명코드도로명도로명영문지하여부건물번호본번건물번호부번건물관리번호다량배달처명시군구용건물명법정동코드법정동명리명행정동명산여부지번본번읍면동일련번호지번부번
909525623강원도Gangwon-do강릉시Gangneung-si구정면Gujeong-myeon421504000000구정옥봉길Gujeongokbong-gil017034215030000000000000000000<NA><NA>4215033022<NA>학산리구정면06411132
506925528강원도Gangwon-do강릉시Gangneung-si<NA><NA>421504000000임영로157번길Imyeong-ro 157beon-gil02404215010000000000000000000<NA><NA>4215011000교동<NA>교1동0100431
5839025716강원도Gangwon-do동해시Donghae-si<NA><NA>421704000000게구석1길Geguseok 1-gil0104217010000000000000000000<NA><NA>4217012300묵호진동<NA>묵호동096277
5741625808강원도Gangwon-do동해시Donghae-si<NA><NA>421704000000효자남길Hyojanam-gil02014217010000000000000000000<NA>제일학원4217010700동회동<NA>북삼동07621
298425502강원도Gangwon-do강릉시Gangneung-si<NA><NA>421504000000강릉대로171번길Gangneung-daero 171beon-gil03904215010000000000000000000<NA>현대그린아파트4215011000교동<NA>교1동0853114
2721525614강원도Gangwon-do강릉시Gangneung-si<NA><NA>421504000000운산길Unsan-gil079124215010000000000000000000<NA><NA>4215013900운산동<NA>강남동110226
3425525408강원도Gangwon-do강릉시Gangneung-si주문진읍Jumunjin-eup421504000000오리나루2길Orinaru 2-gil02904215030000000000000000000<NA><NA>4215025021<NA>주문리주문진읍07312
460725515강원도Gangwon-do강릉시Gangneung-si<NA><NA>421504000000솔올로5번길Sorol-ro 5beon-gil0704215010000000000000000000<NA><NA>4215011000교동<NA>교1동0188911
5635425811강원도Gangwon-do동해시Donghae-si<NA><NA>421704000000나안2길Naan 2-gil05104217010000000000000000000<NA><NA>4217010800나안동<NA>북삼동03817
2986725582강원도Gangwon-do강릉시Gangneung-si<NA><NA>421503000000용지로Yongji-ro04304215010000000000000000000<NA>대목임대아파트4215012500입암동<NA>성덕동049846
우편번호시도시도영문시군구시군구영문읍면읍면영문도로명코드도로명도로명영문지하여부건물번호본번건물번호부번건물관리번호다량배달처명시군구용건물명법정동코드법정동명리명행정동명산여부지번본번읍면동일련번호지번부번
3197825417강원도Gangwon-do강릉시Gangneung-si주문진읍Jumunjin-eup421504000000웃사다리3길Utsadari 3-gil03054215030000000000000000000<NA><NA>4215025022<NA>교항리주문진읍076110
1825925442강원도Gangwon-do강릉시Gangneung-si성산면Seongsan-myeon421503000000성연로Seongyeon-ro025804215030000000000000000000<NA><NA>4215031026<NA>보광리성산면030512
4843124745강원도Gangwon-do고성군Goseong-gun죽왕면Jugwang-myeon428205000000공현진한옥길Gonghyeonjinhanok-gil02904282030000000000000000000<NA><NA>4282032024<NA>공현진리죽왕면0283110
508725502강원도Gangwon-do강릉시Gangneung-si<NA><NA>421503000000임영로Imyeong-ro022944215010000000000000000000<NA><NA>4215011000교동<NA>교1동0818716
424225473강원도Gangwon-do강릉시Gangneung-si<NA><NA>421504000000수리골길93번길Surigol-gil 93beon-gil01804215010000000000000000000<NA><NA>4215011000교동<NA>교2동17510
4669924718강원도Gangwon-do고성군Goseong-gun거진읍Geojin-eup428205000000수외북길Suoebuk-gil02204282030000000000000000000<NA>리장댁민박4282025321<NA>거진리거진읍02891129
4755024722강원도Gangwon-do고성군Goseong-gun거진읍Geojin-eup428205000000돌고개길Dolgogae-gil04204282030000000000000000000<NA><NA>4282025333<NA>송포리<NA>07713
1843825445강원도Gangwon-do강릉시Gangneung-si성산면Seongsan-myeon421504000000자포골길Japogol-gil076184215030000000000000000000<NA>인난사4215031029<NA>산북리성산면0108410
5414124703강원도Gangwon-do고성군Goseong-gun현내면Hyeonnae-myeon428205000000대진8길Daejin 8-gil025104282030000000000000000000<NA><NA>4282031021<NA>대진리현내면0331103
2746125461강원도Gangwon-do강릉시Gangneung-si<NA><NA>421504000000시루봉길68번길Sirubong-gil 68beon-gil010124215010000000000000000000<NA><NA>4215013500운정동<NA><NA>041513